Evidence map›Paper›PMID 26644134›Full record

ArticleBMC public health2015

Burden attributable to Cardiometabolic Diseases in Zimbabwe: a retrospective cross-sectional study of national mortality data.

Mutsa P Mutowo, Alice J Owen, Baki Billah, Paula K Lorgelly, Kudzai E Gumbie, John C Mangwiro, Andre M N Renzaho

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. May Measurement Month 2021: an analysis of blood pressure screening results from Zimbabwe.European heart journal supplements : journal of the European Society of Cardiology · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Mutsa P MutowoSchool of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia. mutsa.mutowo@monash.edu.
Alice J OwenSchool of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia. alice.owen@monash.edu.
Baki BillahSchool of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia. baki.billah@monash.edu.
Paula K LorgellyCentre for Health Economics, Monash University, Melbourne, 3004, Australia. paula.lorgelly@monash.edu.
Kudzai E GumbieFellow of the Institute of Actuaries (FIA) , Harare, Zimbabwe. kegumbz@googlemail.com.
John C MangwiroZimbabwe Diabetes Association, PO Box 1797, Harare, Zimbabwe. johnmangwiro.JC@gmail.com.
Andre M N RenzahoSchool of Social Science and Psychology, University of Western Sydney, Sydney, 2751, , New South Wales, Australia. andre.renzaho@uws.edu.au.
Monash University · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic diseases (CMDs) are an important cause of mortality worldwide and the burden associated with them is increasing in Sub-Saharan Africa. The tracking of mortality helps support evidence based health policy and priority setting. Given the growing prevalence of non-communicable diseases in Zimbabwe, a study was designed to determine the mortality attributable to CMDs in Zimbabwe.

methodsThe study design was a retrospective cross-sectional analysis of national mortality from 1996 to 2007, collated by the Ministry of Health and Child Welfare in Zimbabwe. We employed generalized additive models to flexibly estimate the trend of the CMD mortality and a logistic regression model was used to find significant factors (cause of death according to the death certificate) of the CMD mortality and predict CMD mortality to 2040.

resultsCMDs accounted for 8.13% (95% CI: 8.08% - 8.18%) of all deaths during 1996 to 2007 (p = 0.005). During the study period CMD mortality rate increased by 29.4% (95% CI: 19.9% - 41.1%). The association between gender and CMD mortality indicated female mortality was higher for diabetes (p < 0.001), hypertensive disease (p < 0.001), CVD (p < 0.001) and pulmonary disease (p < 0.001), while male mortality was higher for ischaemic (p = 0.010) and urinary diseases (p < 0.001). There was no gender difference for endocrine disease (p = 0.893). Overall, females have 1.65% higher mortality than males (p < 0.001). CMD mortality is predicted to increase from 9.6 (95% CI: 8.0% - 11.1%) in 2015 to 13.7% (95% CI: 10.2% - 17.2%) in 2040 for males, and from 11.6% (95% CI: 10.2% - 12.9%) in 2015 to 16.2% (95% CI: 13.1% - 19.3%) in 2040 in females.

conclusionThe findings of this study indicate a growing prevalence of CMDs and related mortality in Zimbabwe. Health policy decisions and cost-effective preventive strategies to reduce the burden of CMDs are urgently required.

Indexed as

Health StatusAdultAgedCardiovascular DiseasesCause of DeathChildCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMetabolic DiseasesMiddle AgedPrevalenceRetrospective StudiesSocioeconomic Factors

Identifiers

PMID26644134
PMCPMC4672515
OpenAlexW2184346622

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.